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The Scientific World Journal
Volume 2014, Article ID 313747, 9 pages
http://dx.doi.org/10.1155/2014/313747
Research Article

Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data

1School of Information, Beijing Wuzi University, No. 1 Fuhe Street, Tongzhou District, Beijing 101149, China
2Department of Mechanical Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, S7N 5A9, Canada
3Division of Biomedical Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, Canada S7N 5A9

Received 27 August 2013; Accepted 16 October 2013; Published 2 January 2014

Academic Editors: B. Shen, J. Wang, and J. Wang

Copyright © 2014 Li-Ping Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Li-Ping Tian, Li-Zhi Liu, and Fang-Xiang Wu, “Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data,” The Scientific World Journal, vol. 2014, Article ID 313747, 9 pages, 2014. https://doi.org/10.1155/2014/313747.